gdevenyi

I used to be a contributor to distros, but I found that Ubuntu simply has no method by which I can fix things and contribute them back.

Perfect honeypot

> an old ipad

You've just realized they're going to obsolete all those products.

This is the result of so many very vibe developers on Mac.

Could get all the performance back if you just ran Linux natively.

I had this working with the FreeToken inference engine a month ago when they launched.

https://github.com/FlashML-org/FreeToken

This sounds like a terrible situation, but I wonder if a weekend of Claude iterating could improve on any of these problems. They seem to have been pretty successful on the Mac M series.

You got it

> They argue that LLMs are stealing our culture to feed it back to us.

How is that any different from what media already did.

Most of Disney's original material was European cultural stories.

Reporting bugs _at all_ in Ubuntu has never worked for me.

People still see ads?

Anyone pointed it at the Voynich manuscript?

Does it still need root on Linux? That makes it an instant no go.

Who remembers turning and object oriented turing from the university of Waterloo?

Like gazing into hell

Google already has a product called PhotoScan.

Come on guys!

Brave has the same style of engine built into the browser.

People who are likely to get Alzheimer's don't get jobs as taxi drivers.

My 1080ti is my local inference machine now. With the release of the Bonsai 27B models I can run a genuine dense model with usable context. GOAT card.

> Typescript to bash

Literally the worst of both worlds.

There is some kind of advertising push for this going on. I got Twitter ads for this repo.

Because they don't publish up to date packages for major distros.

As a sysadmin R is the absolute worst for installing and supporting packages.

People have been noticing the effects of this in local LLM inference. Power limiting seems to improve overall performance!

I'm very interested if more VRAM limited setups (8-16GB) show the same performance loss or if they react differently.

This.

Mine does https://github.com/gdevenyi/huggingface-estimate

You can point at the GGUF files and figure it out with your hardware here.

https://github.com/gdevenyi/huggingface-estimate